Behavioral metrics are measurements of what users actually do in a security program, not just what they were told or what training they completed. Common examples include phishing-report rates, use of approved secure workflows, time to report suspicious activity, and the frequency of risky clicks on malicious links or attachments.
These metrics matter because cyber defense depends on human behavior. A team can finish every awareness course and still miss phishing messages or bypass safe procedures. By tracking real actions, defenders can see whether controls are reducing error, whether training is changing habits, and whether a workflow is too hard to follow. Attackers try to exploit predictable mistakes, so improving behavioral metrics can lower the chance that social engineering succeeds and can speed up detection when it does.